DocumentCode :
918598
Title :
TES atmospheric profile retrieval characterization: an orbit of simulated observations
Author :
Kulawik, Susan Sund ; Worden, Helen ; Osterman, Greg ; Luo, Ming ; Beer, Reinhard ; Kinnison, Douglas E. ; Bowman, Kevin W. ; Worden, John ; Eldering, Annmarie ; Lampel, Michael ; Steck, Tilman ; Rodgers, Clive D.
Author_Institution :
Jet Propulsion Lab., Pasadena, CA, USA
Volume :
44
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
1324
Lastpage :
1333
Abstract :
We test the accuracy of our error analysis and retrieval performance by examining retrievals over an orbits´ worth of simulated data covering a variety of atmospheric conditions. The use of simulated data allows validation of the error analysis and retrieval algorithm by comparisons to the true values. To demonstrate typical results, two example retrievals are shown, along with associated diagnostic information. Curtain plots display comparisons between the retrieved results, the true values, and the initial guesses. The results show that the Tropospheric Emission Spectrometer (TES) retrieval algorithm is robust under a variety of atmospheric conditions, that TES can improve on the a priori for nadir species Tatim H2O, O3, and CO, and that the predicted errors match well with the actual retrieved errors. The target scenes (nadir, ocean, cloud-free) simulate conditions that are most easily validated with real data, and comparisons of on orbit results can be made with this baseline.
Keywords :
atmospheric composition; atmospheric measuring apparatus; data acquisition; error analysis; infrared spectroscopy; TES atmospheric profile retrieval; Tropospheric Emission Spectrometer; error analysis; infrared spectroscopy; nadir species; nonlinear estimation; retrieval performance; Analytical models; Atmospheric modeling; Displays; Error analysis; Information retrieval; Layout; Oceans; Robustness; Spectroscopy; Testing; EOS-Aura; Tropospheric Emission Spectrometer (TES); error analysis; infrared spectroscopy; nonlinear estimation; simulation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2006.871207
Filename :
1624611
Link To Document :
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